Senior Finance Data Analyst (Commercial Finance)

Location: Bristol or London, UK (Hybrid) 

We give you a world of potential

This is a hybrid position primarily based in one of our Bristol or London offices. We’re committed to your flexibility and wellbeing and our hybrid strategy currently requires three days a week in the office, giving you the option to work remotely for some of your working week. Find out more about our culture of flexible working. 

Computershare is renowned for its expertise in data management, high volume transaction processing, payments and communications. Many of the world’s leading organizations use these core competencies to help maximize the value of relationships with their investors, employees, creditors, members and customers. 

Our vision is to leverage our global network, specialized technology, local and global financial markets expertise and unsurpassed service levels to keep Computershare at the forefront of the industry. As the perfect partner for organizations seeking consolidated tailored solutions and superior service, we constantly strive to widen the gap in quality between us and our competitors. 

The Finance function is responsible for providing transactional accounting services, treasury, financial planning, analysis, reporting and commercial finance support to all business units and functions throughout Computershare, across all global locations. 

A role you will love

Reporting to the Commercial Finance Director, the Senior Finance Analyst will play a key role in producing, consolidating, interpreting and improving analysis based on data from a variety of sources. 

They will be responsible for maintaining, delivering and improving analytical processes that support senior management by providing clear insights to inform decisions and drive the future long-term performance of the business. The role involves analyzing large sets of financial and non-financial data including volume, pricing and customer data across multiple geographies and seeking to establish trends and ways in which we can improve our financial and business planning and decisions.

• Ability to link non-financial data (KPIs, volume drivers) to explain financial results and variances
• Use a variety of internal and external data sources to undertake a broad range of analyses covering key aspects of our business. Examples include:
  • Customer Analysis – pricing, profitability, cross selling, single view, impact of M&A involving our clients
  • Product analysis – volumes, pricing, profitability, viability of new launches
  • Competitor Analysis – CPU differentiation, SWOT analysis, opportunities for competitive advantage
  • Cost analysis – workforce efficiency / productivity, identify and measure factors which drive cost into our business, discretionary spend effectiveness e.g. marketing, consulting.
  • Investment analysis – appraise software development proposals or other projects to maximise returns
• Review month end and forecast commentary provided by FP&A and identify items or variances requiring deeper analysis. Carry out such analysis
• Support M&A projects where modelling or analysis is required.
• Establish the most appropriate data sources on which to base our analyses 
• Create and maintain financial models to facilitate the above analyses as well as ‘what if scenarios’ and sensitivities. 
• Interpret the completed analysis and identify the key findings, such that we can answer the crucial question of ‘so what?’
• Take the findings and conclusions from analysis performed and 
  • Present recommendations to the Lead Business Partner and / or the relevant business manager.
  • Identify and communicate potential business improvements
  • Input to the budget / forecast / 5YP processes to improve our financial planning
• For new initiatives, products or investments, track actual performance against original analysis / modelling. 
• Recommend ways in which analysis can be standardised and simplified across regions and business units in order to deliver more efficiently

What will you bring to the role?  

We are a global business with an entrepreneurial spirit, and we are proud of that. What that comes with is a fast-paced environment and lots of change so you will be resilient in nature and able to adapt quickly and embrace the pace of change we often work under.

Key skills desired for the role include:

Required:

• Minimum 2 years of financial and analytical experience.
• Bachelor’s degree (B.A./B.S.) or equivalent in a discipline requiring numeracy, problem solving or analytical thinking. For example economics, statistics, engineering, computer science, data science, business analytics, finance/accounting
• Advanced Excel skills with modelling experience 

Required:

• CFA or appetite to study for CFA qualification would be encouraged
• ACA/ACCA/CIMA qualified (or local equivalent) would also be relevant
• Master’s degree in a quantitative field or relevant field
• Experience with visualization software such as Tableau or business intelligent tools
• Experience with multiple AI/ML Algorithms, C++ or Java and SQL and database management.

Rewards designed for you

Flexible work to help you find the best balance between work and lifestyle.

Health and wellbeing rewards that can be tailored to support you and your family.

Invest in our business by setting aside salary to purchase shares in our company, and you’ll receive a company contribution as well.  

Extra rewards ranging from recognition awards and team get togethers to helping you invest in your future.

And more. Ours is a welcoming and close-knit community, with experienced colleagues ready to help you grow. Our handbook will help you find out more about our rewards and life at Computershare, visit computershare.com/careers-handbook.

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